development and feasibility testing of a smartphone intervention … · motivation-behavioral (imb)...

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Approximately 60% of individuals with schizophrenia do not take their antipsychotic medications as prescribed, and nonadherence is associated with exacerbation of psychotic symptoms, increased hospital and emergency room use, and increased healthcare costs. Behavioral-tailoring strategies that incorporate medication taking into the daily routine and use environmental supports have shown promise as adherence-enhancing interventions. Informed by the Information- Motivation-Behavioral (IMB) Skills Model and using the iterative process of user-centered design, we collaborated with individuals with schizophrenia and psychiatrists to develop an interactive smartphone application and web-based cli- nician interface, MedActive, for improving adherence to oral antipsychotic treatment. MedActive facilitates the ac- tive involvement of individuals with schizophrenia in managing their antipsychotic medication regimen by provid- ing automated reminders for medication administration and tailored motivational feedback to encourage adherence, and by displaying user-friendly results of daily ecological momentary assessments (EMAs) of medication adherence, positive psychotic symptoms, and medication side effects for individuals and their psychiatrists. In a 2-week open trial completed by 7 individuals with schizophrenia and their psychiatrists, MedActive was determined to be both feasible and acceptable, with patient participants responding to 80% of all scheduled EMAs and providing positive evalua- tions of their use of the application. Psychiatrist participants were interested in viewing the information provided on the MedActive clinician interface, but cited practical barriers to regularly accessing it and integrating into their daily practice. Original Contributions Development and Feasibility Testing of a Smartphone Intervention to Improve Adherence to Antipsychotic Medications 1 University of Maryland School of Medicine, Department of Psychiatry, Division of Psychiatric Services Research, Baltimore, MD 2 VA Capitol Healthcare Network (VISN 5) Mental Illness Research, Education, and Clinical Center (MIRECC), Baltimore, MD 3 University of Maryland School of Medicine, Baltimore, MD 4 Center for Practice Innovations, New York State Psychiatric Institute, Department of Psychiatry, Columbia University, New York, NY Address for correspondence: Julie Kreyenbuhl, PharmD, PhD, 737 W. Lombard Street, Suite 500, Baltimore, MD 21201 Phone: 410-637-1864; Fax: 410-706-0022; E-mail: [email protected] Submitted: March 23, 2016; Revised: May 9, 2016; Accepted: May 23, 2016 Julie Kreyenbuhl 1, 2 , Elizabeth J. Record 3 , Seth Himelhoch 1, 2 , Melanie Charlotte 1 , Jessica Palmer-Bacon 1 , Lisa B. Dixon 4 , Deborah R. Medoff 1, 2 , Lan Li 1 Abstract Introduction Schizophrenia affects approximately 0.5% of adults worldwide (1) and is among the most severe and costly of psychiatric illnesses (2). When used as prescribed, antipsy- Key Words: Schizophrenia, Antipsychotic, Adherence, Mobile, Technology, Smartphone chotic medications are effective in reducing positive psychot- ic symptoms, with the aim of improving long-term function- al outcomes and enhancing recovery. Despite the potential benefits, upwards of 60% of individuals with schizophrenia do not take their antipsychotic medications as prescribed (3, 4). Commonly cited reasons for nonadherence to antipsy- chotic treatment include substance abuse, poor illness in- sight, cognitive deficits, lack of social support, poor therapeu- tic alliance, practical problems (i.e., financial, environmental, lack of routine), and problematic side effects (4). Partial or complete nonadherence to antipsychotic medications is as- sociated with numerous adverse outcomes, including exacer- bation of psychotic symptoms and increased risk of relapse, impaired functioning, increased suicide attempts, increased hospital and emergency room use, and high healthcare costs (5-7). 152 Clinical Schizophrenia & Related Psychoses Winter 2019

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Page 1: Development and Feasibility Testing of a Smartphone Intervention … · Motivation-Behavioral (IMB) Skills Model and using the iterative process of user-centered design, we collaborated

Approximately 60% of individuals with schizophrenia do not take their antipsychotic medications as prescribed, and nonadherence is associated with exacerbation of psychotic symptoms, increased hospital and emergency room use, and increased healthcare costs. Behavioral-tailoring strategies that incorporate medication taking into the daily routine and use environmental supports have shown promise as adherence-enhancing interventions. Informed by the Information-Motivation-Behavioral (IMB) Skills Model and using the iterative process of user-centered design, we collaborated with individuals with schizophrenia and psychiatrists to develop an interactive smartphone application and web-based cli-nician interface, MedActive, for improving adherence to oral antipsychotic treatment. MedActive facilitates the ac-tive involvement of individuals with schizophrenia in managing their antipsychotic medication regimen by provid-ing automated reminders for medication administration and tailored motivational feedback to encourage adherence, and by displaying user-friendly results of daily ecological momentary assessments (EMAs) of medication adherence, positive psychotic symptoms, and medication side effects for individuals and their psychiatrists. In a 2-week open trial completed by 7 individuals with schizophrenia and their psychiatrists, MedActive was determined to be both feasible and acceptable, with patient participants responding to 80% of all scheduled EMAs and providing positive evalua-tions of their use of the application. Psychiatrist participants were interested in viewing the information provided on the MedActive clinician interface, but cited practical barriers to regularly accessing it and integrating into their daily practice.

Original Contributions

Development and Feasibility Testing of a Smartphone Intervention to Improve

Adherence to Antipsychotic Medications

1University of Maryland School of Medicine, Department of Psychiatry, Division of Psychiatric Services Research, Baltimore, MD2VA Capitol Healthcare Network (VISN 5) Mental Illness Research, Education, and Clinical Center (MIRECC), Baltimore, MD 3University of Maryland School of Medicine, Baltimore, MD4Center for Practice Innovations, New York State Psychiatric Institute, Department of Psychiatry, Columbia University, New York, NY

Address for correspondence: Julie Kreyenbuhl, PharmD, PhD, 737 W. Lombard Street, Suite 500, Baltimore, MD 21201 Phone: 410-637-1864; Fax: 410-706-0022; E-mail: [email protected]

Submitted: March 23, 2016; Revised: May 9, 2016; Accepted: May 23, 2016

Julie Kreyenbuhl 1, 2, Elizabeth J. Record 3, Seth Himelhoch 1, 2, Melanie Charlotte 1, Jessica Palmer-Bacon 1, Lisa B. Dixon 4, Deborah R. Medoff 1, 2, Lan Li 1

Abstract

Introduction Schizophrenia affects approximately 0.5% of adults worldwide (1) and is among the most severe and costly of psychiatric illnesses (2). When used as prescribed, antipsy-

Key Words: Schizophrenia, Antipsychotic, Adherence, Mobile, Technology, Smartphone

chotic medications are effective in reducing positive psychot-ic symptoms, with the aim of improving long-term function-al outcomes and enhancing recovery. Despite the potential benefits, upwards of 60% of individuals with schizophrenia do not take their antipsychotic medications as prescribed (3, 4). Commonly cited reasons for nonadherence to antipsy-chotic treatment include substance abuse, poor illness in-sight, cognitive deficits, lack of social support, poor therapeu-tic alliance, practical problems (i.e., financial, environmental, lack of routine), and problematic side effects (4). Partial or complete nonadherence to antipsychotic medications is as-sociated with numerous adverse outcomes, including exacer-bation of psychotic symptoms and increased risk of relapse, impaired functioning, increased suicide attempts, increased hospital and emergency room use, and high healthcare costs (5-7).

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Clinical ImplicationsMany individuals with schizophrenia have difficulties adhering to antipsychotic treatment, and behavioral tailoring strat-egies that incorporate medication taking into the daily routine and use environmental supports are showing promise in improving adherence. Relatively low-cost technologies like mobile smartphones, whose availability is growing, possess many attributes that make them particularly suitable for behavioral tailoring interventions. The results of this study show that a novel intervention, MedActive, in which a smartphone application provides automated medication reminders and tailored motivational feedback to encourage adherence, and collects and displays daily ecological momentary assess-ments of medication adherence, positive psychotic symptoms, and medication side effects for both patients and their clinicians, is a feasible and acceptable approach to addressing adherence problems in individuals with schizophrenia. Additional research is needed to determine whether such smartphone-based interventions are effective in improving adherence to antipsychotic treatment and associated therapeutic outcomes.

The aims of this study were to employ a user-centered design approach (36, 37) to develop a smartphone interven-tion, MedActive, designed to improve antipsychotic medi-cation adherence in individuals with schizophrenia, and to conduct a short-term open trial to determine its preliminary acceptability and feasibility among individuals with schizo-phrenia and psychiatrists.

Methods Theoretical Framework for the Intervention The conceptualization of MedActive was informed by the Information-Motivation-Behavioral (IMB) Skills Mod-el, an empirically supported framework for understanding and addressing nonadherence to highly active antiretroviral therapy for HIV (38, 39), which shares many characteristics with psychiatric medication nonadherence (4). The IMB Skills Model asserts that well-informed and well-motivated patients with adequate skills for enacting adherence-related behaviors will exhibit better adherence. In accordance with the IMB Skills Model, MedActive provides illness and medi-cation information, increases motivation to adhere (e.g., through personalized motivational feedback), and imparts the behavioral skills required for individuals with schizo-phrenia to adequately adhere to antipsychotic treatment (e.g., through daily medication reminders). Input from individuals with schizophrenia and their psychiatrists was carefully considered at each stage of de-veloping MedActive through the iterative process of user-centered design (UCD) (36, 37). UCD allows end users of a system to influence how a design takes shape to increase the ease with which a system can be learned and used. Five individuals with schizophrenia and seven psychiatrists par-ticipated in a usability testing protocol that was approved by the University of Maryland, Baltimore Institutional Review Board and informed consent was obtained from all partici-pants. Throughout the development of MedActive, usability testing provided guidance on the specification of the format,

Studies of antipsychotic adherence-enhancing interven-tions developed for individuals with schizophrenia to date have demonstrated mixed findings, with some strategies in-dicating promise. The overwhelming majority of studies test-ing psychosocial interventions in which psychoeducation or cognitive behavioral-oriented compliance therapy grounded in principles of motivational interviewing provided alone were ineffective in improving adherence (8-11). However, behavioral-tailoring strategies that incorporate medication taking into the daily routine and use environmental supports (e.g., reminders, medication packaging), self-monitoring, or reinforcement (including monetary) have been shown to improve adherence to antipsychotic treatment (12-16). How-ever, many of these interventions are logistically complex and difficult to deliver widely, requiring specialized therapist training or in-home visits, and may be financially unsustain-able. Mobile technology-based interventions have recently been used for disease management and prevention and have been found effective in engaging consumers in treatment, enhancing traditional clinical interventions, and improving both intermediate and clinical health outcomes (17-21). Sev-eral reviews of interventions utilizing mobile phone technol-ogy, primarily involving text messaging, have shown them to be effective in improving medication adherence for a number of nonpsychiatric medical conditions (e.g., diabetes, asthma, HIV, obesity) (18, 19, 21-23). Mobile phone technologies are increasingly being used for both the assessment and treatment of serious mental illness as well (24-32). Mobile phones, including smartphones, represent an ideal medium to improve medication adherence because of their availabil-ity and acceptability among individuals with schizophrenia (33), and their ability to enhance the ecological validity of mental health assessments and treatments as they take place in real time and in individuals’ natural settings (34, 35). In-creasingly, mobile phone technologies are being used to im-prove medication adherence among individuals with schizo-phrenia (24-29), though only one pilot study has employed a smartphone application (28, 29) to date.

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appearance, and content of the intervention so that informa-tion was presented in a user-friendly and accessible manner to both groups of users. Individuals with schizophrenia in-terviewed all “strongly agreed” or “agreed” that they found the application to be easy to use and interesting, and could imagine using the application in their daily life. However, some commented that they had difficulty reading the text due to the font size and color, and had difficulty comprehending some terms, including “antipsychotic,” “cognitive problems,” and “rigidity.” All psychiatrists interviewed stated that they were “very interested” or “interested” in viewing summary reports of their patients’ adherence, symptoms, and side effects “daily” to “weekly,” and that this information would be “very useful” or “useful,” although some did express con-cerns about how patients’ cognitive impairments and literacy levels would interfere with their use of the application. Tak-ing this feedback into consideration, several changes to the application were made, including alteration of the text size and color, and replacement of various terms to meet the literacy level of the patient population.

MedActive Smartphone Application User Interface: Overview MedActive (see Figure 1) consists of an Android-compatible smartphone application that reminds individu-als to take their antipsychotic medications, stores and tracks

Figure 1 MedActive Smartphone Application Homepage

Table 1 Key Components of MedActive Smartphone

IMB-Skills Model: Adherence information • Personalized reminders for patient to take antipsychotic medication at prescribed times • User-friendly displays on phone of summary adherence, antipsychotic side effects, and positive psychotic symptoms data input by patient

IMB-Skills Model: Adherence motivation • Patient queried about whether each dose of antipsychotic medication taken as prescribed - Patient queried about reasons for not taking antipsychotic medication as prescribed and provided with brief, motivational feedback tailored to reason for nonadherence - Patient provided with positive reinforcement/motivational feedback when medication is taken as prescribed • Display on clinician interface for review by prescriber of real-time summary report of patient’s self-reported adherence to antipsychotic medication and daily occurrence of antipsychotic side effects and positive psychotic symptoms

IMB-Skills Model: Adherence behavioral skills • Patient responds to prompts on phone to take antipsychotic medication at scheduled times • Patient is queried about daily occurrence of antipsychotic side effects and a rating of how distressing the side effects are - Patient can choose to view brief advice for self-managing antipsychotic side effects • Patient is queried about daily occurrence of positive psychotic symptoms and a rating of how distressing the symptoms are • Patient is provided with user-friendly way of sending brief, pre-formatted messages to prescriber via clinician interface regarding the need to discuss occurrence of antipsychotic side effects or positive psychotic symptoms at their next face-to-face visit

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Similarly, the EMA of medication side effects asks individu-als about 9 common side effects of antipsychotic treatment, including weight gain, difficulty concentrating, difficulty fall-ing or staying asleep, daytime sleepiness, restlessness, lack of energy, not feeling like oneself, sexual difficulties, and muscle stiffness. Each question in both of the EMAs has a simple multiple-choice “yes/no” response, and an affirmative response leads to subsequent questions pertaining to the fre-quency of occurrence or the severity of the symptoms or side effects. If individuals report that they are always bothered by one or more of the symptoms or side effects, they are given the option of letting their psychiatrist know via an automated message displayed on the clinician interface (see below). If individuals do not initially respond to a request for an EMA, they are prompted to do so thirty minutes later. Individuals receive a “point” as an incentive for completing each EMA. In addition to these prompted EMAs, individuals can also elect to report symptoms and side effects at any time during the day by accessing these surveys via an icon on the MedActive homepage. Also via the homepage, individuals can view pictorial representations of their reporting of symp-toms and side effects over time (see S. Figures 2 and 3), as well as a resource guide that provides concise descriptions of positive psychotic symptoms (see S. Figure 5) and anti-psychotic medication side effects (see S. Figure 6), including brief tips on self-management of side effects, as well as tips for talking with their doctor (see S. Figure 7).

MedActive Clinician Interface MedActive also consists of a clinician interface which is a secure website that enables psychiatrists to review their patients’ daily antipsychotic medication adherence (see S. Figure 8), positive psychotic symptoms (see S. Figure 9), and antipsychotic side effects at any time (see S. Figure 10). Alerts appear if individuals report not taking a dose of medication due to side effects or if they report always being bothered by a symptom or side effect in the previous day. To facilitate communication about medication concerns, psychiatrists could also view when their patients send them automated re-quests indicating their desire to speak with them at the next appointment about a specific medication, symptom, or side effect concern.

Open Trial of MedActiveStudy Overview We conducted an open trial in which individuals with schizophrenia and psychiatrists used the MedActive applica-tion and clinician interface for 2 weeks between March and June 2014. Outpatients with a diagnosis of a schizophrenia spectrum disorder received an Android smartphone and used the MedActive application for approximately 2 weeks,

information about their self-reported medication adherence, positive psychotic symptoms, and antipsychotic side effects, and allows them to research topics regarding schizophrenia and antipsychotic medications. Table 1 shows how the key features of MedActive map onto the components of the IMB Skills Model.

MedActive Smartphone Application User Interface: Medication Reminders MedActive reminds individuals to take their antipsy-chotic medication at scheduled times throughout the day (see Supplemental [S.] Figure 2). Five minutes prior to a scheduled dose of medication, MedActive provides a per-sonalized auditory and visual reminder to take that dose of medication. Five minutes later, individuals are asked wheth-er they took that dose of medication. If individuals respond “yes,” rotating personalized motivational feedback messages of their choosing appear. If individuals respond “no,” they are then asked to select why they did not take that dose (options include: “It doesn’t help me,” “I don’t need it,” “It’s okay to skip it,” “I don’t have it with me,” and “The side effects make me feel bad”) and rotating personalized messages of their choice subsequently appear reminding individuals why taking their medication is helpful. If individuals respond that they are not taking their medication due to side effects, they are given the option to send an automated message to their psychiatrist via the clinician interface (see below). Individuals’ responses to these ecological momentary assessments (EMAs) of their adherence are displayed within a user-friendly calendar that appears during the EMA or can be accessed through the homepage at any time. If individuals do not respond to the initial EMA, they receive a single additional query thirty minutes later. As an incentive to respond to EMAs, partici-pants receive points for each survey they respond to, which can be viewed as they accumulate via an icon on the home-page.

MedActive Smartphone Application: EMAs of Positive Psychotic Symptoms and Antipsychotic Side Effects In addition to the adherence EMAs, individuals are prompted to respond to once daily EMAs regarding their positive psychotic symptoms (see S. Figure 3) and antipsy-chotic medication side effects (see S. Figure 4) at random times within a time frame when they specify they are avail-able. The EMA of positive psychotic symptoms queries in-dividuals about 7 positive psychotic symptoms, including hallucinations, disorganized thought, paranoia, having a special mission or purpose, being able to mind read, thought insertion, and communication with the TV or music (35).

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during which time their psychiatrists could monitor their antipsychotic medication adherence, positive psychotic symptoms, and side effects on the clinician interface. The study protocol was approved by the University of Maryland, Baltimore Institutional Review Board and informed consent was obtained from all participants.

Setting and Sample Individuals with schizophrenia and their psychiatrists were recruited from 2 outpatient mental health clinics within the University of Maryland Division of Community Psychia-try that serve adults in low-income areas of Baltimore. Seven psychiatrists were recruited and referred patients who met inclusion criteria for the study. The patients were diagnosed with a schizophrenia spectrum disorder as reported by their psychiatrists, between the ages of 18 and 64 years, prescribed and self-administered one or more oral antipsychotic medi-cations, English speaking, and able to read English at a 7th grade reading level or above (per the Wide Range Achieve-ment Test). Because the primary aim of this pilot study was to evaluate the initial feasibility and acceptability of MedActive rather than its effects on medication adherence, we did not preferentially enroll individuals who had difficulties adher-ing to antipsychotic treatment. Patient-participants were ex-cluded if they had a visual, hearing, voice, or motor impair-ment that would prevent completion of the study procedures or use of a mobile phone. Patient-participants were paid $50 upon completion of the trial and return of the smartphone.

Procedures At the beginning of the study, participants received an Android smartphone with the MedActive application up-loaded, and completed a brief training session on how to op-erate them. The phone was customized with personalized medication reminders, time frames for completion of symp-tom and side effect EMAs, and motivational feedback mes-sages. The smartphone and accessories were provided free of charge with unlimited data and text messaging capabilities and limited call time for the 2-week study period. Partici-pants were contacted on days 2 and 7 of the 2-week study pe-riod to troubleshoot any difficulties with the phone or app. If a participant did not respond to any of the adherence, symp-tom, or side effects EMAs over any 2-day period during the trial, they were contacted by research staff. If participants did not respond to any EMAs after 7 days and could not oth-erwise be contacted, they were considered lost to follow-up and the phone was deactivated. Participants were expected to return the smartphone and its accessories at the follow-up appointment. Psychiatrist-participants were given access to the clini-cian interface to monitor their patients over the 2-week pe-

riod in which up to 2 of their patients were using the MedAc-tive application. They were not given a minimum frequency with which they should access the interface, and responding to requests from patients to discuss symptoms or side effects was considered optional, as would be the case in regular clin-ical practice.

Measures At baseline, patient-participants completed surveys regarding their demographic information and prior use of mobile phones. During the 2-week study period, all patient-participant use of the application (i.e., button presses, re-sponses EMAs) and psychiatrist-participant use of the clini-cian interface were continuously uploaded to a secure study server. At follow-up, psychiatrist- and patient-participants completed surveys querying them about the acceptability and likeability of the application and clinician interface, re-spectively. The primary outcomes of the open trial were the feasibil-ity and acceptability of the application and clinician interface. MedActive was considered “feasible” if 100% of patient-par-ticipants completed the trial, 100% returned the smartphone in working condition, and patient-participants responded to at least 70% of all EMAs. Acceptability was based on patient- and psychiatrist-participant ratings of the application and clinician interface.

ResultsParticipants Of the 7 psychiatrists enrolled in the study, 6 referred patients to participate. Five of the 6 psychiatrists referred 1 patient, and 1 psychiatrist referred 2 patients. Of the 9 pa-tients recruited for the study, 1 patient declined to participate prior to consent after hearing the description of the study and 1 did not return to complete the pre-trial surveys and mobile phone training. The remaining 7 individuals were enrolled, and all were African-American males with a mean age of 47.6 (SD=10.4). Participants had been diagnosed with schizophrenia at a mean age of 24.3 (SD=12.3) and had completed an average of 10 (±2) years of schooling. Overall, 57% (n=4) of participants were currently unemployed and all were single or never married. Six participants (86%) took their medication once per day, while the other participant (14%) took his medication twice per day. Five participants (71%) stated that they owned a mobile phone, and of these, 2 (29%) reported owning a smartphone.

Feasibility All 7 patient-participants completed the approximate 2- week trial (range=14–18 days) and returned their phones in working order. Only 1 participant experienced minor techni-

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cal difficulties in operating the phone and received retrain-ing. Overall, participants responded to 80% of all EMAs. They responded to 85% of adherence EMAs, 79% of the EMAs of positive psychotic symptoms, and 75% of the EMAs of medication side effects. Participants reported taking their antipsychotic medication in 100% of the adherence EMAs to which they responded. The majority of participants reported experiencing symptoms and side effects in response to those EMAs (see Table 2). Participants reported experiencing one or more symptoms in 62% of the EMAs to which they re-sponded, of which “voices or visions,” “confused thinking,” and “thought insertion” were most commonly reported. Par-ticipants reported experiencing one or more side effects in 82% of the EMAs to which they responded, with “low en-ergy” being the most commonly cited. Over half of partici-pants also reported experiencing “concentration difficulties,” “concerns about weight,” “not feeling like oneself,” “muscle stiffness/trembling,” and “excess sedation” at least once dur-ing the trial. With regard to psychiatrists’ use of the clinician inter-face, 4/6 psychiatrists (67%) used the website at least one time during the 2-week trial, logging in an average of 3 (±3) times. Three of the 4 clinicians (75%) who logged in viewed information on their patients’ medication adherence (an average of 5 [±4] times per patient), positive symptoms (9

Table 2 Responses to Daily Assessments of Positive Symptoms and Antipsychotic Side Effects

Symptom/Side Effect reported

Symptoms

Voices or Visions

Confused Thinking

Thought Insertion

Thought Broadcasting

Special Powers/Missions

Paranoia

TV or Music Communicating

Side Effects

Low Energy

Concentration Difficulties

Concerns about Weight

Not Feeling Like Oneself

Muscle Stiffness/Trembling

Excess Sedation

Insomnia

Sexual Problems

Restlessness

Number of participants who

reported symptom/side

effect at least once (%)

4 (57)

4 (57)

4 (57)

3 (43)

3 (43)

1 (14)

1 (14)

5 (71)

4 (57)

4 (57)

4 (57)

4 (57)

4 (57)

3 (43)

3 (43)

3 (43)

Mean number of times symptom/side effect

reported

8.75±5.12

8.50±3.11

5.25±5.32

5.67±6.43

5.00±6.93

13.0

13.0

6.80±4.92

8.75±4.72

8.50±5.80

5.75±2.87

4.50±4.51

8.00±3.83

7.33±5.69

5.33±5.86

6.00±4.36

[±10] times per patient), and antipsychotic side effects (9 [±10] times patient). This corresponded to 4/7 patients (57%) having their psychiatrists view information on their adherence and antipsychotic side effects, and 3/7 patients (43%) having their clinicians view information on their posi-tive symptoms during the 2 weeks.

Acceptability As shown in Table 3, the majority of patient-participants found MedActive easy to use, reporting they had no difficul-ties understanding and responding to the questions present-ed within the application and operating the smartphone. The majority also agreed that their experience using MedActive was pleasant yet challenging, but not stressful, and did not interfere negatively with daily activities. Four participants (57%) “strongly agreed” or “agreed” that they needed tech-nical support. All patient-participants “strongly agreed” or “agreed” that they liked that their psychiatrists could view their information in real time, that MedActive was interest-ing and easy to use, and that the application helped them to remember to take their medication. Six participants (86%) “strongly agreed” or “agreed” that MedActive helped them talk to their psychiatrist about their medication. Five of the 6 psychiatrist-participants (83%) stated that they were “interested” in continuing to be able to view sum-

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Table 3 Patient Acceptability of the MedActive Smartphone Application

Statement

“I had difficulties understanding the questions in the MedActive application.”

“I had difficulties typing my responses to the questions in the MedActive application.”

“I had difficulties operating the smartphone.”

“The smartphone was comfortable for me to carry.”

“The reminders in MedActive interfered negatively with my activities.”

“Overall, this experience of using MedActive was pleasant.”

“Overall, this experience of using MedActive was challenging.”

“Overall, this experience of using MedActive was stressful.”

“I would be interested in participating in similar studies in the future.”

“I would recommend to others to participate in a similar study.”

Statement

“I liked that I was able to view on the phone a calendar that showed me how many days I took my medication.”

“I liked that I was able to view on the phone a calendar that showed me how many days I reported experiencing side effects of my medication.”

“I liked that I was able to view on the phone a calendar that showed me how many days I reported experiencing symptoms of schizophrenia.”

“I liked that my psychiatrist was able to view how many days I took my medications.”

“I liked that my psychiatrist was able to view how many days I reported experiencing side effects of my medications.”

“I liked that my psychiatrist was able to view how many days I reported experiencing symptoms of schizophrenia.”

“I liked that I was able to let my psychiatrist know when I had a question or a problem with my medications.”

“I thought MedActive was easy to use.”

“I found MedActive to be interesting.”

“MedActive helped me talk to my psychiatrist about my medication.”

“I needed technical support while using MedActive.”

“Overall, MedActive helped me remember to take my medications.”

Number of Participants Responding “Quite a Bit” or “Very Much” (%)

0 (0)

0 (0)

0 (0)

4 (57)

0 (0)

5 (71)

5 (71)

0 (0)

6 (86)

7 (100)

Number of Participants Responding “Strongly Agree” or “Agree” (%)

7 (100)

7 (100)

7 (100)

7 (100)

7 (100)

7 (100)

7 (100)

7 (100)

7 (100)

6 (86)

4 (57)

6 (86)

mary reports of their patients’ adherence, symptom, and side effect information on a secure website. Psychiatrists indicat-ed that they would use the interface frequently outside of the study, with 1 (17%) stating he/she would access the interface every day, 1 (17%) 2 –3 times weekly, 3 (50%) once weekly, and 1 (17%) less than once weekly. Three psychiatrists (50%) stated that they were “successful” in implementing the inter-face into their practice, that it was “helpful” to log onto the interface to view patients’ adherence, symptom, and side ef-fect information, and that it was “not burdensome” to log on to the interface. Among the open-ended feedback that the psychiatrists provided, two stated that integrating the inter-face information into a patient’s medical records would be

helpful, and two suggested providing alerts when new infor-mation became available in the interface.

Discussion In this report, we describe a novel smartphone-based intervention, MedActive, designed to increase adherence to antipsychotic treatment in individuals with schizophrenia. Consistent with the Information-Motivation-Behavioral (IMB) Skills Model (38, 39), MedActive is expected to im-prove medication adherence by conveying medication-taking knowledge and heuristics, by employing personal and social motivators for adherence, and by imparting behavioral skills for sustaining medication self-administration (e.g., through

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automated reminders). While MedActive shares some fea-tures common to other mobile technology interventions for this population, including inquiries about medication adher-ence (24-29) and EMAs of positive psychotic symptoms (28, 29), MedActive also possesses several unique attributes. For example, whereas most of these interventions have largely relied on text messaging (24-27) and included medication adherence among one of several intervention domains (25-29), MedActive is a smartphone application that has medica-tion adherence as its exclusive focus. MedActive incorporates personalized reminders to take medications at the specific times they are prescribed, and includes assessment of reasons for nonadherence coupled with provision of motivational feedback personally tailored to an individual’s self-identified reasons for taking medication. In addition to EMAs of adher-ence and positive psychotic symptoms, MedActive uniquely captures in-the-moment information on common antipsy-chotic side effects and provides user-friendly tips for self-management. In addition, MedActive provides longitudinal summaries of EMAs of adherence, psychiatric symptoms, and side effects in user-friendly displays for both patients and clinicians, in an effort to facilitate shared decision-making to overcome barriers to adherence. The present study demonstrated that an antipsychotic adherence-enhancing smartphone application is feasible among individuals with schizophrenia, with 100% of partici-pants completing the study and returning the smartphone in working condition, and participants responding to 80% of all EMAs of adherence, symptoms and side effects. Further, these individuals found the MedActive application to be ac-ceptable, with everyone endorsing that MedActive was easy to use and helpful in remembering to take their medication, and the majority agreeing that MedActive helped them talk to their psychiatrist about their medication. It should be not-ed that only two participants owned their own smartphones prior to the study. Because several individuals found using MedActive to be “challenging” and felt in need of technical support, it is important that initial training and ongoing tech-nical assistance be made available for some individuals with serious mental illness who may not be familiar with or have reservations about using newer technologies such as smart-phones. Overall, our findings are consistent with past stud-ies examining mobile phone interventions in this population, contributing to the growing body of literature demonstrating that technologies, including personal digital assistants (31), text messaging (24-27), and smartphone applications (28, 29) are acceptable and feasible resources by which to address medication adherence difficulties in individuals with serious mental illness. In this study, 85% of patient-participants self-endorsed high rates of adherence at baseline and this continued throughout the study, with participants self-reporting taking

their antipsychotic medication in 100% of adherence EMAs to which they responded. This level of adherence is signifi-cantly higher than the poor adherence commonly cited in this population (3, 4). This is not necessarily surprising as we did not enroll individuals based upon their medication adherence status and subjective assessments of nonadher-ence are known to be unreliable (40, 41). Future studies eval-uating the effectiveness of MedActive and similar adherence-enhancing interventions should enroll individuals with known adherence difficulties (4) and should employ more objective measures of medication adherence (e.g., unan-nounced pill counts [15, 16], pharmacy refill records [13, 15], electronic pill caps [16, 40]) along with self-reports (41). Despite such high rates of self-reported adherence, a sig-nificant proportion of individuals nevertheless reported ex-periencing positive psychotic symptoms during the 2-week study period, endorsing them in over 60% of EMAs, of which “voices or visions," “confused thinking," and “thought insertion” were the most commonly cited. An even greater proportion of participants experienced one or more anti-psychotic side effects, having endorsed them in over 80% of EMAs, of which “concentration difficulties,” “concerns about weight,” and “low energy” were mentioned most frequently. While a participating psychiatrist noted that at least one of her patients was responding to the EMAs as though they were being asked if they had “ever” experienced the symp-tom or side effect rather than reporting over the past day, this was likely not the case for all participants. This suggests that many individuals with schizophrenia are frequently experi-encing multiple psychotic symptoms and antipsychotic side effects that could be interfering with their daily lives, which could be brought to the attention of clinicians through the use of a tool like MedActive. With regard to psychiatrists’ reactions to MedActive, the findings were more varied, with the interface being used by approximately 70% of psychiatrists who logged in an average of 3 times during the 2-week study period. While the major-ity of psychiatrists noted being interested in continuing to view summary reports of their patients’ adherence, symp-tom, and side effect information, only half considered them-selves to be “successful” in implementing the interface into their regular practice. This is not necessarily surprising given the time pressures that psychiatrists face treating often com-plex patients in 15–20 minute visits, and not typically having access to clinical information available to them in real-time. More work is needed to understand how to better enable service systems and providers to integrate real-time patient information into existing workflows in order to facilitate measurement-based care (42). Suggestions provided by psy-chiatrists in our study included integrating MedActive into the existing electronic medical record system and providing alerts when new patient information becomes available.

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Limitations of this study include its small sample size and limited demographic mix, short duration, and lack of a com-parison group. While appropriate for feasibility testing, these shortcomings precluded any investigation of the impact of MedActive on its intended targets, including improved anti-psychotic adherence and enhanced shared decision-making, as well as more distal outcomes including improved psy-chotic symptoms and reduced psychiatric hospitalizations. Despite these limitations, the results of this study provide the foundation for future testing of innovative smartphone inter-ventions that incorporate principles of behavioral tailoring as a promising strategy for improving adherence to antipsy-chotic treatment in individuals with serious mental illness.

Funding This work was supported by the National Institute of Mental Health (R34 MH094555 to J.K.).

Acknowledgments We would like to acknowledge David C. Mohr, PhD, and his staff at the Center for Behavioral Intervention Technolo-gies (CBITs) within the Northwestern University Feinberg School of Medicine for their contributions to the develop-ment of MedActive. The authors have declared that there are no conflicts of interest in relation to the subject of this study.

ReferencesSimeone JC, Ward AJ, Rotella P, Collins J, Windisch R. An evaluation of variation in published estimates of schizophrenia prevalence from 1990 –2013: a systematic literature review. BMC Psychiatry 2015;15:193.

Wu EQ, Birnbaum HG, Shi L, Ball DE, Kessler RC. The economic burden of schizophrenia in the United States in 2002. J Clin Psychiatry 2005;66(9):1122-1129.

Byerly MJ, Nakonezny PA, Lescouflair E. Antipsychotic medication adherence in schizophrenia. Psychiatr Clin North Am 2007;30(3):437-452.

Velligan DI, Weiden PJ, Sajatovic M, Scott J, Carpenter D, Ross R, et al. The expert consensus guideline series: adherence problems in patients with serious and per-sistent mental illness. J Clin Psychiatry 2009;70 Suppl 4:1-46.

Offord S, Lin J, Mirski D, Wong B. Impact of early nonadherence to oral antipsy-chotics on clinical and economic outcomes among patients with schizophrenia. Adv Ther 2013;30(3):286-297.

Novick D, Haro JM, Suarez D, Perez V, Dittmann RF, Haddad PM. Predictors and clinical consequences of non-adherence with antipsychotic medication in the out-patient treatment of schizophrenia. Psychiatry Res 2010;176(2-3):109-113.

Gilmer TP, Dolder CR, Lacro JP, Folsom DP, Lindamer L, Garcia P, et al. Ad-herence to treatment with antipsychotic medication and health care costs among Medicaid beneficiaries with schizophrenia. Am J Psychiatry 2004;161(4):692-699.

Barkhof E, Meijer CJ, de Sonneville LMJ, Linszen DH, de Haan L. Interventions to improve adherence to antipsychotic medication in patients with schizophrenia--a review of the past decade. Eur Psychiatry 2012;27(1):9-18.

Dixon LB, Dickerson F, Bellack AS, Bennett M, Dickinson D, Goldberg RW, et al. The 2009 Schizophrenia PORT Psychosocial Treatment Recommendations and Summary Statements. Schizophr Bull 2010;36(1):48-70.

Lincoln TM, Wilhelm K, Nestoriuc Y. Effectiveness of psychoeducation for re-lapse, symptoms, knowledge, adherence and functioning in psychotic disorders: a meta-analysis. Schizophr Res 2007;96(1-3):232-245.

1.

2.

3.

4.

5.

6.

7.

8.

9.

10.

Barkhof E, Meijer CJ, de Sonneville LMJ, Linszen DH, de Haan L. The effect of motivational interviewing on medication adherence and hospitalization rates in nonadherent patients with multi-episode schizophrenia. Schizophr Bull 2013;39(6):1242-1251.

Priebe S, Yeeles K, Bremner S, Lauber C, Eldridge S, Ashby D, et al. Effectiveness of financial incentives to improve adherence to maintenance treatment with an-tipsychotics: cluster randomized controlled trial. BMJ 2013;347:f5847.

Valenstein M, Kavanagh J, Lee T, Reilly P, Dalack GW, Grabowski J, et al. Using a pharmacy-based intervention to improve antipsychotic adherence among pa-tients with serious mental illness. Schizophr Bull 2011;37(4):727-736.

Montes JM, Maurino J, Diez T, Saiz-Ruiz J. Telephone-based nursing strategy to improve adherence to antipsychotic treatment in schizophrenia: a controlled trial. Int J Psychiatry Clin Pract 2010;14(4):274-281.

Velligan DI, Diamond PM, Mintz J, Maples N, Li X, Zeber J, et al. The use of individually tailored environmental supports to improve medication adherence and outcomes in schizophrenia. Schizophr Bull 2008;34(3):483-493.

Velligan D, Mintz J, Maples N, Xueying L, Gajewski S, Carr H, et al. A ran-domized trial comparing in person and electronic interventions for improving adherence to oral medications in schizophrenia. Schizophr Bull 2013;39(5):999-1007.

Heron KE, Smyth JM. Ecological momentary interventions: incorporating mo-bile technology into psychosocial and health behaviour treatments. Br J Health Psychol 2010;15(Pt 1):1-39.

Wei J, Hollin I, Kachnowski S. A review of the use of mobile phone text mes-saging in clinical and healthy behavior interventions. J Telemed Telecare 2011;17(1):41-48.

de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R. Mobile phone messaging for facilitating self-management of long-term illnesses. CochraneDatabase Syst Rev 2012;12:CD007459.

Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease manage-ment interventions for health care consumers: a systematic review. PLoS Med 2013;10(1):e1001362. doi: 10.1371/journal.pmed.1001362.

Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a sys-tematic review of reviews. Annu Rev Public Health 2015;36:393-415.

Vervloet M, Linn AJ, van Weert JC, de Bakker DH, Bouvy ML, van Dijk L. The effectiveness of interventions using electronic reminders to improve adherence to chronic medication: a systematic review of the literature. J Am Med Inform Assoc 2012;19(5):696-704.

Park LG, Howie‐Esquivel J, Dracup K. A quantitative systematic review of the efficacy of mobile phone interventions to improve medication adherence. J Adv Nurs 2014;70(9):1932-1953.

Montes JM, Medina E, Gomez-Beneyto M, Maurino J. A short message service (SMS)-based strategy for enhancing adherence to antipsychotic medication in schizophrenia. Psychiatry Res 2012;200:89-95.

Granholm E, Ben-Zeev D, Link PC, Bradshaw KR, Holden JL. Mobile Assess-ment and Treatment for Schizophrenia (MATS): a pilot trial of an interactive text-messaging intervention for medication adherence, socialization, and audi-tory hallucinations. Schizophr Bull 2012;38(3):414-425.

Beebe LH, Smith K, Crye C, Addonizio C, Strunk DJ, Martin W, et al. Telenurs-ing intervention increases psychiatric medication adherence in schizophrenia outpatients. J Am Psychiatr Nurses Assoc 2008;14(3):217-224.

Beebe L, Smith KD, Phillips C. A comparison of telephone and texting interven-tions for persons with schizophrenia spectrum disorders. Issues Ment Health Nurs 2014;35(5):323-329.

Ben-Zeev D, Kaiser SM, Brenner CJ, Begale M, Duffecy J, Mohr DC. Develop-ment and usability testing of FOCUS: a smartphone system for self-manage-ment of schizophrenia. Psychiatr Rehabil J 2013;36(4):289-296.

Ben-Zeev D, Brenner CJ, Begale M, Duffecy J, Mohr DC, Mueser KT. Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizo-phrenia. Schizophr Bull 2014;40(6):1244-1253.

Ben-Zeev D, Kaiser SM, Krzos I. Remote “hovering” with individuals with psy-chotic disorders and substance use: feasibility, engagement, and therapeutic alli-

11.

12.

13.

14.

15.

16.

17.

18.

19.

20.

21.

22.

23.

24.

25.

26.

27.

28.

29.

30.

160 • Clinical Schizophrenia & Related Psychoses Winter 2019

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Page 10: Development and Feasibility Testing of a Smartphone Intervention … · Motivation-Behavioral (IMB) Skills Model and using the iterative process of user-centered design, we collaborated

ance with a text-messaging mobile interventionist. J Dual Diagn 2014;10(4):197-203.

Wenze SJ, Armey MF, Miller IW. Feasibility and acceptability of a mobile inter-vention to improve treatment adherence in bipolar disorder: a pilot study. Behav Modif 2014;38(4):497-515.

Depp CA, Ceglowski J, Wang VC, Yaghouti F, Mausbach BT, Thompson WK, et al. Augmenting psychoeducation with a mobile intervention for bipolar disorder: a randomized controlled trial. J Affect Disord 2015;174:23-30.

Ben-Zeev D, Davis KE, Kaiser S, Krzsos I, Drake RE. Mobile technologies among people with serious mental illness: opportunities for future services. Adm Policy Ment Health 2013;40(4):340-343.

Palmier-Claus JE, Myin-Germeys I, Barkus E, Bentley L, Udachina A, Delespaul PA, et al. Experience sampling research in individuals with mental illness: reflec-tions and guidance. Acta Psychiatr Scand 2011;123(1):12-20.

Granholm E, Loh C, Swendsen J. Feasibility and validity of computerized ecologi-cal momentary assessment in schizophrenia. Schizophr Bull 2008;34(3);507-514.

Abras C, Maloney-Krichmar D, Preece J. User-centered design. In: Bainbridge W, editor. Berkshire encyclopedia of human-computer interaction. Great Barrington (MA): Berkshire Publishing Group; 2004. p. 463-468.

Dabbs Ade V, Myers BA, Mc Curry KR, Dunbar-Jacob J, Hawkins RP, Begey A, et al. User-centered design and interactive health technologies for patients. Comput Inform Nurs 2009;27(3):175-183.

Fisher JD, Fisher WA, Amico KR, Harman JJ. An information-motivation-behavioral skills model of adherence to antiretroviral therapy. Health Psychol 2006;25(4):462-473.

Fisher JD, Amico KR, Fisher WA, Harman JJ. The information-motivation-be-havioral skills model of antiretroviral adherence and its applications. Curr HIV/AIDS Rep 2008;5(4):193-203.

Velligan DI, Wang M, Diamond P, Glahn DC, Castillo D, Bendle S, et al. Rela-tionships among subjective and objective measures of adherence to oral antipsy-chotic medications. Psychiatr Serv 2007;58(9):1187-1192.

Sajatovic M, Velligan DI, Weiden PJ, Valenstein MA, Ogedegbe G. Measurement of psychiatric treatment adherence. J Psychosom Res 2010;69(6):591-599.

Young AS, Niv N, Chinman M, Dixon L, Eisen SV, Fischer EP, et al. Routine outcomes monitoring to support improving care for schizophrenia: report from the VA mental health QUERI. Community Ment Health J 2011;47(2):123-135.a

31.

32.

33.

34.

35.

36.

37.

38.

39.

40.

41.

42.

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Figure 2 Selected Screen Shots of the Medication Reminder Component of the MedActive Smartphone Application

Supplemental Figures 2 –10

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Figure 3 Selected Screen Shots of the Ecological Momentary Assessment of Positive Psychotic Symptoms Component of the MedActive Smartphone Application

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Figure 4 Selected Screen Shots of the Ecological Momentary Assessment of Antipsychotic Medication Side Effects Component of the MedActive Smartphone Application

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Figure 5 Selected Screen Shots of “ThingsTo Know” About Positive Symptoms Available Via the MedActive Smartphone Application Homepage

Figure 6 Selected Screen Shots of “Things To Know” About Side Effects of Antipsychotic Medications Available Via the MedActive Smartphone Application Homepage

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Figure 7 Selected Screen Shots of “Things To Know” About Tips for Talking to Your Doctor Available Via the MedActive Smartphone Application Homepage

Figure 8 Screen Shot of the Medication Adherence Component of the MedActive Clinician Interface

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Figure 9 Screen Shot of the Ecological Momentary Assessment of Positive Psychotic Symptoms Component of the MedActive Clinician Interface

Figure 10 Screen Shot of the Ecological Momentary Assessment of Antipsychotic Medication Side Effects Component of the MedActive Clinician Interface

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